Article

Deep Learning approach for breast cancer discovery Via gene correlation

2025-11-28

Abstract excerpt

<title>Abstract</title> <p>Background Identifying breast cancer early is crucial for successful treatment and reducing the risk of developing the disease. Many people fail to detect the illness in its early stages, which increases the chances of progression and higher mortality. Breast cancer, common among women, can be effectively treated if caught early before it advances. However, current methods for early dia...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 23be1693-d6f1-5b6b-b993-5ff7b831152b
DOI: 10.21203/rs.3.rs-7870782/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning approach for breast cancer discovery Via gene correlationDOI 10.21203/rs.3.rs-7870782/v1Read

Deep Learning for Predicting Breast Cancer: A Systematic Review of Progress and Future DirectionsSemantic proximity Read

Breast Cancer Case Identification Based on Deep Learning and Bioinformatics AnalysisSemantic proximity Read

Deep neural network improves the estimation of polygenic risk scores for breast cancer.Semantic proximity Read

WDCN: a comprehensive neural network based approach for estimating breast cancer risk.Semantic proximity Read

An Improved Deep Learning Algorithm for Breast Cancer Survival Prediction Based on Multi-Omics DataSemantic proximity Read

An Improved Deep Learning Algorithm for Breast Cancer Survival Prediction Based on Multi-Omics DataSemantic proximity Read

Predicting molecular subtypes of breast cancer using pathological images by deep convolutional neural network from public datasetSemantic proximity Read

Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations.Semantic proximity Read

Development and validation of a machine learning model to predict delays in seeking medical care among patients with breast cancer in ChinaSemantic proximity Read

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classifiedSemantic proximity Read

A Novel Machine Learning Systematic Framework and Web Tool for Breast Cancer Survival Rate AssessmentSemantic proximity Read

Multimodal Gene Expression Deep Learning for Predicting Sentinel Lymph Node Macro-metastasis in Early Breast Cancer: Development and Validation in the SCAN-B CohortSemantic proximity Read